{"id":"W2965746178","doi":"10.3808/jei.201900416","title":"A Stochastic Hydraulic Modelling Approach to Determining the Probable Maximum Staging of Ice-Jam Floods","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Flood myth; Flooding (psychology); Boundary (topology); Environmental science; Hydraulic structure; Monte Carlo method; Stochastic modelling; Hydrology (agriculture); Geology; Geotechnical engineering; Mathematics; Statistics; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000956053,0.0003548432,0.0004589507,0.0007574268,0.0004068239,0.0007807535,0.0009219035,0.0005495331,0.001117223],"category_scores_gemma":[0.003298156,0.0004714579,0.0005627539,0.0006062629,0.0005290739,0.0007081348,0.0006070284,0.0005283338,0.0001197465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009970018,"about_ca_system_score_gemma":0.001465928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585548,"about_ca_topic_score_gemma":0.01453755,"domain_scores_codex":[0.9995701,0.0001460462,0.00002965739,0.00007990795,0.0001222513,0.00005203664],"domain_scores_gemma":[0.9986957,0.0007448453,0.0002347742,0.00008607996,0.0001876827,0.00005107302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004821688,0.000004004627,0.0004787538,0.000004639038,0.000005278389,0.000009502543,0.00001054391,0.9931537,0.0002542085,0.004189775,0.0000499977,0.001834694],"study_design_scores_gemma":[0.000001033803,0.000002749744,0.0001524121,0.000001186697,0.000001350079,0.000003854973,0.000002493733,0.9980373,0.00006686257,0.001630877,0.00009738842,0.000002528775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0433343,0.00004090106,0.9540142,0.0001243882,0.00001021456,0.00002863888,0.0001657693,0.0002174526,0.002064137],"genre_scores_gemma":[0.8821728,0.0001215219,0.1153973,0.00004029993,0.0000375762,0.0001525849,0.0003163935,0.00004813909,0.001713473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01585548,"threshold_uncertainty_score":0.03152639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136964343859961,"score_gpt":0.1829460812511915,"score_spread":0.1715764378125919,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}